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There is no universally hardest programming language. A 2023 HackerNoon list identifies C++, Malbolge, Haskell, INTERCAL, Brainfuck, COW and Whitespace, but each is difficult for a different reason. Some demand a new programming model, while others deliberately restrict instructions or make source code hard to read.
The list is an editorial selection rather than a measured ranking. Your background matters: C++ may be a steep step up from Python or JavaScript, while a learner already comfortable with low-level or functional concepts may find another language more challenging.
Why “hardest” has no single answer
Programming-language difficulty is not measured by one accepted test or score. A language can be difficult because it has many interacting features, requires machine-level reasoning, uses an unfamiliar model of computation, imposes extreme constraints, or hides its source code visually.
Furqan Aziz’s November 30, 2023 HackerNoon article presents the seven-language list as a challenge-oriented guide. Aziz also notes that difficulty depends on the learner’s prior experience. A February 2024 list on Nurhidayat.dev names a different seven languages, further showing that no canonical set exists.
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Consequently, the list should help you identify the kind of challenge you are choosing—not tell you which language is objectively number one.
The seven languages and what makes each difficult
1. C++: breadth, complexity and low-level control
C++ combines multiple programming styles and has a large, intricate syntax. Aziz highlights its multi-paradigm nature and the difficulty of understanding lower-level concepts, particularly for beginners or programmers coming from higher-level languages.
Is C++ the hardest language? Not categorically. The article describes it as difficult compared with popular choices such as Python or JavaScript, while explicitly acknowledging that people’s experience varies. For someone who already knows systems programming, its challenge may be different from—and possibly less severe than—the constraints imposed by an esoteric language.
2. Malbolge: deliberate constraints and changing instructions
Malbolge is presented as exceptionally difficult because its instructions are restricted, instructions are substituted after execution, and the data that can be loaded is constrained. These rules make ordinary experimentation and debugging unlike the process used in conventional languages.
Its difficulty comes from having to reason within an intentionally hostile execution environment, not from a broad feature set.
3. Haskell: a different way to model computation
Haskell’s challenge in the list is conceptual. It emphasizes functional programming and lazy evaluation, in which computation is described as occurring when a result is needed. Learners accustomed to step-by-step imperative execution must adjust how they think about evaluation, state and program structure.
Rank #3
This is a model-of-computation hurdle: the syntax alone does not capture the main change in thinking.
4. INTERCAL: satire with rules that can reject your program
INTERCAL is described as a satire of programming languages. One of its notable conventions is the use of “PLEASE”: using the word too little or too much can cause a program to be rejected, according to Aziz’s account.
The resulting challenge is partly technical and partly procedural. You must learn the language’s unusual rules while also treating its deliberately absurd design as part of the programming experience.
Rank #4
5. Brainfuck: eight commands, long solutions
Brainfuck is characterized as a deliberately minimal language with only eight commands. That small instruction set does not make programs easy to write. Even simple tasks can require lengthy code, so the learner must track operations at a very low level and manage complexity without the conveniences found in mainstream languages.
Its difficulty is therefore one of constrained expression: there are few building blocks, and substantial work may be needed to perform a basic operation.
6. COW: a tiny instruction vocabulary built around “MOO”
The article describes COW as having twelve instructions expressed as variations of “MOO” and identifies it as Turing complete. Those details are article-attributed descriptions, not a comparative measurement of learning outcomes.
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7. Whitespace: source code you cannot readily see
Whitespace uses spaces, tabs and line feeds as its programming elements. Because ordinary text editors may show those characters poorly—or not at all—reading and debugging a program can be difficult before you even reason about what it does.
Its defining challenge is source-code visibility. The learner has to inspect invisible formatting accurately and maintain a mental model of structure that is not apparent on the page.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How the seven challenges differ
| Language | Primary difficulty described in the 2023 list | What the learner must manage |
|---|---|---|
| C++ | Complex syntax and a multi-paradigm design | Many interacting features and lower-level concepts |
| Malbolge | Restricted instructions, instruction substitution and data restrictions | Programming under unusual execution constraints |
| Haskell | Functional programming and lazy evaluation | A different model of when and how computation happens |
| INTERCAL | Satirical rules, including the “PLEASE” convention | Language behavior that can reject incorrect convention use |
| Brainfuck | Only eight commands and lengthy solutions | Low-level reasoning with minimal expressive tools |
| COW | Twelve “MOO” variations; described as Turing complete | Decoding a deliberately narrow instruction vocabulary |
| Whitespace | Spaces, tabs and line feeds form the program | Reading and debugging largely invisible source |
This comparison is a practical framework inferred from the descriptions, not a published scoring system. It separates conceptual difficulty, feature and syntax breadth, machine-level control, deliberate restriction and source readability.
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Which language should you learn?
Difficulty alone is a poor reason to choose a language. The 2023 article advises selecting a language according to your goals and its usefulness for those goals.
- Choose C++ only when its breadth or lower-level control matches what you want to learn; expect a steeper start than with languages such as Python or JavaScript.
- Choose Haskell if learning functional programming and lazy evaluation is itself your objective.
- Choose Malbolge, INTERCAL, Brainfuck, COW or Whitespace when you specifically want to explore unusual constraints, language design, satire or unconventional computation. Their presence on this list does not establish broad practical value.
Before committing, identify the source of difficulty you want: conceptual change, complex syntax, machine-level detail, restricted instructions or unreadable source. That choice is more useful than treating the seven as a universal ladder from easy to impossible.
Quick Recap
What this 2023 list can—and cannot—tell you
- It provides a recognizable set of seven languages and explanations for why each can be hard.
- It does not provide a numeric difficulty score, controlled learner study or universal ranking.
- The counts associated with Brainfuck and COW are descriptive claims in Aziz’s article, not statistics about how long people take to learn.
- A different 2024 list demonstrates that editorial selections change with the author and audience.
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